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Updated: May 10, 2025

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
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里芬素的参数群体药理动力学模型存储库:以模型为基础的个性化疗法

Gehang Ju1,2,3, Xin Liu3,4, Meng Gu4

  • 1Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.

Clinical pharmacology : advances and applications
|April 21, 2025
PubMed
概括

这项研究创建了一个瑞芬素群体药理动力学 (popPK) 模型存储库,以帮助个性化治疗. 该存储库强调了模型变异,强调了需要外部验证以优化结核病治疗的必要性.

关键词:
基于模型的精确剂量定量.人口的药理动力学这种药物是里法皮辛 (rifampicin).

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Analysis of Population Pharmacokinetic Data

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Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
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Model Approaches for Pharmacokinetic Data: Compartment Models

Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
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A recent model describes pravastatin's hepatobiliary excretion,...
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Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
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